Impairment testing of NICs in AI Infrastructures

WHITE PAPER

Artificial Intelligence (AI)I workloads require large GPU clusters interconnected via high-performance networks to handle learning and inference phases efficiently. These workloads involve significant server-to-server traffic, necessitating high bandwidth and low latency. Tools like impairment emulators and protocol analyzers help developers test and optimize network performance, ensuring reliability and efficiency in AI-driven environments.

This White Paper explores how to test NICs used for AI infrastructure, with focus on the RoCEv2 protocol and load balancing.

It outlines how impairment emulators, traffic generators and protocol analyzers can enhance network reliability and efficiency of Ethernet ports.

Impairment testing of Ethernet NICs used in AI infrastructure White Paper

Download this White Paper

048 WP: Impairment testing of NICs in AI Infrastructures

Request this White Paper
Name*
First Last
Work Email*
Company*
Country*
Country
Consent Business Terms*
I agree with Xena's Privacy Statement and Terms and Conditions.*
I'm ok with receiving relevant product info from Xena (but please don't spam me).*
- Yes, please.
- No, thank you.
Email
This field is for validation purposes and should be left unchanged.

Award Winning Solutions

Xena has won multiple global awards for price/performance and technical innovation. Learn more.

Impairment testing of NICs in AI Infrastructures

Download this White Paper

048 WP: Impairment testing of NICs in AI Infrastructures

Request this White Paper

Award Winning Solutions

Technical Expertise

Support

Resources

Corporate

STAY IN TOUCH